A Flexible Framework for Expectation Maximization-Based MIMO System Identification for Time-Variant Linear Acoustic Systems
Quasi-continuous system identification of time-variant linear acoustic systems can be applied in various audio signal processing applications when numerous acoustic transfer functions must be measured. A prominent application is measuring head-related transfer functions. We treat the underlying mult...
Main Authors: | Tobias Kabzinski, Peter Jax |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of Signal Processing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10334061/ |
Similar Items
-
Estimation of acoustic echoes using expectation-maximization methods
by: Usama Saqib, et al.
Published: (2020-08-01) -
Deep Learning Research With an Expectation-Maximization Model for Person Re-Identification
by: Fei Zhou, et al.
Published: (2020-01-01) -
miREM: an expectation-maximization approach for prioritizing miRNAs associated with gene-set
by: Luqman Hakim Abdul Hadi, et al.
Published: (2018-08-01) -
The performance of expectation maximization (EM) algorithm in Gaussian Mixed Models (GMM)
by: Mohd Yusoff, Mohd Izhan, et al.
Published: (2009) -
An Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction
by: Pohl, Kilian M., et al.
Published: (2005)